{"id":"W7001746195","doi":"","title":"L'arbitrage de différend chez les policiers et pompiers municipaux du Québec","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Emperipolesis; Triacetin; Fusible alloy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00248827,0.0004052745,0.0007136383,0.0009088074,0.005719642,0.004062647,0.001054142,0.002117533,0.02998728],"category_scores_gemma":[0.009775278,0.0003787618,0.0004879608,0.001320675,0.001530967,0.0009448585,0.001281739,0.002343093,0.001614885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01949085,"about_ca_system_score_gemma":0.01606011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.843834,"about_ca_topic_score_gemma":0.8642587,"domain_scores_codex":[0.9970666,0.0006054104,0.000126213,0.0002616908,0.001172095,0.0007680987],"domain_scores_gemma":[0.9956599,0.002070104,0.0004779982,0.0002616111,0.001088847,0.0004415444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004167801,0.0006602206,0.367732,0.0004508462,0.0003146988,0.01118491,0.01475136,0.01764911,0.005032434,0.2324506,0.08348345,0.2621226],"study_design_scores_gemma":[0.0005931708,0.0005032178,0.6007164,0.0002841245,0.0001717214,0.002570734,0.01958278,0.0327199,0.005983185,0.0289805,0.3076918,0.0002025386],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8475423,0.003506592,0.003893445,0.01091585,0.0002446714,0.0002051947,0.002201961,0.0001359256,0.1313541],"genre_scores_gemma":[0.8127617,0.00109666,0.001703919,0.0004742539,0.00008833774,0.00007879989,0.0004102573,0.00004265425,0.1833435],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.156166,"threshold_uncertainty_score":0.3141713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003295742529563246,"score_gpt":0.150678066233374,"score_spread":0.1473823237038107,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}